Predictive diagnostics for high-availability accelerators

Klemen Žagar, D. Bokal, K. Strniša, Matej Gašperin, Gasper Pajor, Luis Medeiros-Romão, Dirk Vandeplassche

    Research outputpeer-review

    2 Scopus citations


    In Accelerator Driven Systems, high availability of the accelerator is one of its key requirements. Fortunately, not every beam trip is necessarily a failure. For example, in the proposed MYRRHA transmuter, absence of the beam for less than 3 seconds is still deemed acceptable. Predictive diagnostics strives to predict where a failure is likely to occur, so that a mitigating action can be taken in a more controlled manner, thus preventing failure of other components while exactly pinpointing the component that is about to fail. One approach to predictive diagnostics is to analyze process variables that quantify inputs and outputs of components as archived by the accelerator's distributed control system. By observing trends in their values an impending fault can be predicted. In addition, sensors measuring e.g., vibration, temperature or noise can be attached to critical components.

    Original languageEnglish
    Title of host publicationIPAC 2013
    Subtitle of host publicationProceedings of the 4th International Particle Accelerator Conference
    PublisherJACoW Publishing
    Number of pages3
    ISBN (Print)9783954501229
    StatePublished - 2013
    Event4th International Particle Accelerator Conference, IPAC 2013 - Shanghai
    Duration: 12 May 201317 May 2013

    Publication series

    NameIPAC 2013: Proceedings of the 4th International Particle Accelerator Conference
    PublisherThe Joint Accelerator Conferences Website (JACoW)


    Conference4th International Particle Accelerator Conference, IPAC 2013

    ASJC Scopus subject areas

    • Atomic and Molecular Physics, and Optics

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